Senior/Lead AI Engineer

What you’ll be doing

You’ll operate at the intersection of engineering leadership and cutting-edge AI:

• Lead the design and delivery of AI agent platforms and multi-agent systems
• Architect scalable, fault-tolerant, distributed AI systems
• Build agent orchestration frameworks with complex workflows
• Define and implement AI guardrails and safety mechanisms
• Establish engineering standards and best practices for AI development
• Drive prompt engineering strategy and optimisation techniques
• Optimise performance with advanced caching and workload strategies
• Build robust logging, monitoring, and alerting for AI systems
• Evaluate and integrate emerging AI models into production
• Run experiments with new architectures and approaches
• Collaborate with product, design, and architecture teams
• Mentor engineers and elevate technical capability across the team

What you’ll bring

You’re a senior engineer with both depth and leadership experience:

• 6–10+ years in software engineering, including AI/ML/Full Stack focus
• Expert-level Python skills
• Strong experience with agentic AI frameworks (e.g. LangChain, CrewAI, AutoGPT or similar)
• Experience using AI coding tools (e.g. Copilot, Cursor, Claude Code)
• Deep understanding of prompt engineering and LLM behaviour
• Experience designing AI guardrails and responsible AI systems
• Knowledge of vector databases and similarity search optimisation
• Strong background in distributed systems and high-availability design
• Experience with Docker, Kubernetes, and cloud platforms
• Familiarity with infrastructure-as-code and modern architecture patterns
• Proven experience leading teams or large-scale technical initiatives
• Mentoring is key

Nice to have

• Experience with Model Context Protocol (MCP)
• Exposure to AI ethics, bias detection, and governance frameworks
• Ability to communicate complex AI concepts to non-technical stakeholders